Image Recognition
Machine Learning (ML): A subset of AI that allows computer systems to learn and improve from experience without being explicitly programmed. Recurrent Neural Network (RNN): A type of neural network well-suited for sequential data, such as text or time series. Bias in AI: Refers to the presence of unfair or discriminatory outcomes in AI systems, often resulting from biased training data or design decisions. Edge AI: The deployment of AI algorithms directly on edge devices (e.g., smartphones, IoT devices) instead of relying on cloud-based processing, allowing for faster and more privacy-conscious AI applications. AI Model: A mathematical representation of an AI system, learned from data during the training process, which can make predictions or decisions when presented with new inputs.